Zobrazeno 1 - 10
of 1 123
pro vyhledávání: '"Saez-Rodriguez Julio"'
Autor:
Flores, Ricardo Omar Ramirez, Schäfer, Philipp Sven Lars, Küchenhoff, Leonie, Saez-Rodriguez, Julio
Publikováno v:
Physiology (Bethesda). 2024 Feb 6
The application of single-cell molecular profiling coupled with spatial technologies has enabled charting cellular heterogeneity in reference tissues and in disease. This new wave of molecular data has highlighted the expected diversity of single-cel
Externí odkaz:
http://arxiv.org/abs/2403.06753
Autor:
Stolovitzky, Gustavo, Saez-Rodriguez, Julio, Bletz, Julie, Albrecht, Jacob, Andreoletti, Gaia, Costello, James C., Boutros, Paul
Data Science research is undergoing a revolution fueled by the transformative power of technology, the Internet, and an ever increasing computational capacity. The rate at which sophisticated algorithms can be developed is unprecedented, yet they rem
Externí odkaz:
http://arxiv.org/abs/2312.05296
Autor:
Maier, Andreas, Hartung, Michael, Abovsky, Mark, Adamowicz, Klaudia, Bader, Gary D., Baier, Sylvie, Blumenthal, David B., Chen, Jing, Elkjaer, Maria L., Garcia-Hernandez, Carlos, Helmy, Mohamed, Hoffmann, Markus, Jurisica, Igor, Kotlyar, Max, Lazareva, Olga, Levi, Hagai, List, Markus, Lobentanzer, Sebastian, Loscalzo, Joseph, Malod-Dognin, Noel, Manz, Quirin, Matschinske, Julian, Mee, Miles, Oubounyt, Mhaned, Pico, Alexander R., Pillich, Rudolf T., Poschenrieder, Julian M., Pratt, Dexter, Pržulj, Nataša, Sadegh, Sepideh, Saez-Rodriguez, Julio, Sarkar, Suryadipto, Shaked, Gideon, Shamir, Ron, Trummer, Nico, Turhan, Ugur, Wang, Ruisheng, Zolotareva, Olga, Baumbach, Jan
In recent decades, the development of new drugs has become increasingly expensive and inefficient, and the molecular mechanisms of most pharmaceuticals remain poorly understood. In response, computational systems and network medicine tools have emerg
Externí odkaz:
http://arxiv.org/abs/2305.15453
Autor:
Lobentanzer, Sebastian, Feng, Shaohong, Consortium, The BioChatter, Maier, Andreas, Wang, Cankun, Baumbach, Jan, Krehl, Nils, Ma, Qin, Saez-Rodriguez, Julio
Current-generation Large Language Models (LLMs) have stirred enormous interest in recent months, yielding great potential for accessibility and automation, while simultaneously posing significant challenges and risk of misuse. To facilitate interfaci
Externí odkaz:
http://arxiv.org/abs/2305.06488
Autor:
Reinke, Annika, Tizabi, Minu D., Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Kavur, A. Emre, Rädsch, Tim, Sudre, Carole H., Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Buettner, Florian, Cardoso, M. Jorge, Cheplygina, Veronika, Chen, Jianxu, Christodoulou, Evangelia, Cimini, Beth A., Collins, Gary S., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Glocker, Ben, Godau, Patrick, Haase, Robert, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Isensee, Fabian, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kleesiek, Jens, Kofler, Florian, Kooi, Thijs, Kopp-Schneider, Annette, Kozubek, Michal, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rafelski, Susanne M., Rajpoot, Nasir, Reyes, Mauricio, Riegler, Michael A., Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I., Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Wiesenfarth, Manuel, Yaniv, Ziv R., Jäger, Paul F., Maier-Hein, Lena
Publikováno v:
Nature methods, 1-13 (2024)
Validation metrics are key for the reliable tracking of scientific progress and for bridging the current chasm between artificial intelligence (AI) research and its translation into practice. However, increasing evidence shows that particularly in im
Externí odkaz:
http://arxiv.org/abs/2302.01790
Autor:
Rahimi, Arezou, Vale-Silva, Luis A., Savitski, Maria Faelth, Tanevski, Jovan, Saez-Rodriguez, Julio
Single-cell RNA sequencing (scRNA-seq) and spatially-resolved imaging/sequencing technologies have revolutionized biomedical research. On one hand, scRNA-seq provides information about a large portion of the transcriptome for individual cells, but la
Externí odkaz:
http://arxiv.org/abs/2301.01682
Autor:
Lobentanzer, Sebastian, Aloy, Patrick, Baumbach, Jan, Bohar, Balazs, Charoentong, Pornpimol, Danhauser, Katharina, Doğan, Tunca, Dreo, Johann, Dunham, Ian, Fernandez-Torras, Adrià, Gyori, Benjamin M., Hartung, Michael, Hoyt, Charles Tapley, Klein, Christoph, Korcsmaros, Tamas, Maier, Andreas, Mann, Matthias, Ochoa, David, Pareja-Lorente, Elena, Popp, Ferdinand, Preusse, Martin, Probul, Niklas, Schwikowski, Benno, Sen, Bünyamin, Strauss, Maximilian T., Turei, Denes, Ulusoy, Erva, Wodke, Judith Andrea Heidrun, Saez-Rodriguez, Julio
Standardising the representation of biomedical knowledge among all researchers is an insurmountable task, hindering the effectiveness of many computational methods. To facilitate harmonisation and interoperability despite this fundamental challenge,
Externí odkaz:
http://arxiv.org/abs/2212.13543
Autor:
Maier-Hein, Lena, Reinke, Annika, Godau, Patrick, Tizabi, Minu D., Buettner, Florian, Christodoulou, Evangelia, Glocker, Ben, Isensee, Fabian, Kleesiek, Jens, Kozubek, Michal, Reyes, Mauricio, Riegler, Michael A., Wiesenfarth, Manuel, Kavur, A. Emre, Sudre, Carole H., Baumgartner, Michael, Eisenmann, Matthias, Heckmann-Nötzel, Doreen, Rädsch, Tim, Acion, Laura, Antonelli, Michela, Arbel, Tal, Bakas, Spyridon, Benis, Arriel, Blaschko, Matthew, Cardoso, M. Jorge, Cheplygina, Veronika, Cimini, Beth A., Collins, Gary S., Farahani, Keyvan, Ferrer, Luciana, Galdran, Adrian, van Ginneken, Bram, Haase, Robert, Hashimoto, Daniel A., Hoffman, Michael M., Huisman, Merel, Jannin, Pierre, Kahn, Charles E., Kainmueller, Dagmar, Kainz, Bernhard, Karargyris, Alexandros, Karthikesalingam, Alan, Kenngott, Hannes, Kofler, Florian, Kopp-Schneider, Annette, Kreshuk, Anna, Kurc, Tahsin, Landman, Bennett A., Litjens, Geert, Madani, Amin, Maier-Hein, Klaus, Martel, Anne L., Mattson, Peter, Meijering, Erik, Menze, Bjoern, Moons, Karel G. M., Müller, Henning, Nichyporuk, Brennan, Nickel, Felix, Petersen, Jens, Rajpoot, Nasir, Rieke, Nicola, Saez-Rodriguez, Julio, Sánchez, Clara I., Shetty, Shravya, van Smeden, Maarten, Summers, Ronald M., Taha, Abdel A., Tiulpin, Aleksei, Tsaftaris, Sotirios A., Van Calster, Ben, Varoquaux, Gaël, Jäger, Paul F.
Publikováno v:
Nature methods, 1-18 (2024)
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. Particularly in automatic biomedical image analysis, chosen performance metrics often do not reflect the domain interest, thus fa
Externí odkaz:
http://arxiv.org/abs/2206.01653
Autor:
Hernansaiz-Ballesteros, Rosa, Holland, Christian H., Dugourd, Aurelien, Saez-Rodriguez, Julio
Motivation: Omics data, such as transcriptomics or phosphoproteomics, are broadly used to get a snap-shot of the molecular status of cells. In particular, changes in omics can be used to estimate the activity of pathways, transcription factors and ki
Externí odkaz:
http://arxiv.org/abs/2109.05796
Autor:
Laury, Anna Ray, Zheng, Shuyu, Aho, Niina, Fallegger, Robin, Hänninen, Satu, Saez-Rodriguez, Julio, Tanevski, Jovan, Youssef, Omar, Tang, Jing, Carpén, Olli Mikael
Publikováno v:
In Modern Pathology July 2024 37(7)
